Data Annotation & QA Specialist — Hybrid (Cupertino)

Aquent; Cupertino (CA); Ibrido; USD 34.000 - 48.000; Tempo pieno

Vantaggi offerti da questo lavoro

Benefits

401k with match

Weekly pay

Descrizione del lavoro

Aquent is partnering on a data operations contract in Cupertino, CA to support data collection, annotation, processing, and QA for AI/ML projects. The role is on-site 3–5 days per week with W2 payroll, weekly pay, benefits, and 401(k) matching through 12/2027.

You will work closely with Program Managers and QA Leads to ensure high-quality datasets, coordinating sessions, preparing data assets, and validating outputs across the data lifecycle.

Competenze

• On-site in Cupertino, CA 3–5 days per week.
• Proficiency navigating macOS, iOS and iPadOS and standard office apps.
• Ability to organize, validate, and spot-check data files.
• Excellent communication and interpersonal skills.
• Strong time management and attention to detail.
• Self-motivated and able to work independently in a fast-paced environment.
• Consistent speed and high-quality output on repetitive tasks.
• Quick learner of new systems and tools.

Mansioni

• Coordinate and facilitate in-person data collection sessions.
• Annotate data with bounding boxes and subjective ratings across text, image, and video.
• Identify trends, edge cases, and tool anomalies during annotation.
• Perform QA reviews against guidelines and provide actionable feedback.
• Prepare and validate data assets for accurate dataset deliveries.
• Configure and troubleshoot data collection platforms and devices prior to launches.

Conoscenze

Data collection

Annotation

Quality assurance

Communication

Organizational skills

Time management

Independent work

MacOS/iOS familiarity

Attention to detail

Strumenti

CLI commands

Python scripting

Annotation platforms

Descrizione del lavoro

Aquent is partnering on a data operations contract in Cupertino, CA to support data collection, annotation, processing, and QA for AI/ML projects. The role is on-site 3–5 days per week with W2 payroll, weekly pay, benefits, and 401(k) matching through 12/2027.

You will work closely with Program Managers and QA Leads to ensure high-quality datasets, coordinating sessions, preparing data assets, and validating outputs across the data lifecycle.